class_docstr: MovingMnist Dataset.
docstr: Additional data fields to store on disk and their decoders.
docstr_tok: ["Additional","data","fields","to","store","on","disk","and","their","decoders","."]
code: def extra_reading_spec(self):
      """Additional data fields to store on disk and their decoders."""
      data_fields = {
          "frame_number": tf.FixedLenFeature([1], tf.int64),
      }
      decoders = {
          "frame_number": contrib.slim().tfexample_decoder.Tensor(
              tensor_key="frame_number"
          ),
      }
      return data_fields, decoders
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import numpy
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import video_utils
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  import tensorflow_datasets
  from tensorflow_datasets.video import moving_sequence
label_desc: Use image node_id 9 for calling the VideoMovingMnist obj's underlying member method code with example usage: obj.extra_reading_spec() and returns: data_fields,  decoders